code: def test_clone_wrapping(make_input, return_type):
      dp = make_input()
  
      with tv_tensors.set_return_type(return_type):
          dp_clone = dp.clone()
  
      assert type(dp_clone) is type(dp)
      assert dp_clone.data_ptr() != dp.data_ptr()
  
imports: from copy import deepcopy
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_image, make_segmentation_mask, make_video
  from PIL import Image
  from torchvision import tv_tensors
label_desc: Use image node_id 11 for calling a global function with example usage: test_clone_wrapping(make_input, return_type) without return types